BiographyDr. Karthik Raman has been at IIT Madras since 2010, where he leads a group that primarily focusses on computational methods to understand and manipulate biological networks. A key focus of the group is in understanding various microbiomes, ranging from the gut microbiome to extreme microbiomes, such as the International Space Station, or hydrothermal vents. His group builds scalable algorithms to study various kinds of networks and is also interested in analysis of multi-omic biological data.
Since 2015, Dr. Raman co-ordinates the Initiative for Biological Systems Engineering, which comprises several faculty from various disciplines, united by their common interest in applying network science or machine learning to tackle biological problems. He is also a core member of the Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI), which is a premier centre in the country in the forefront of various key areas of AI.
In 2017, with colleagues from IIT Bombay and IISc Bengaluru, Dr. Raman founded qBiome Research Private Limited, a research consultancy enterprise, which develops solutions for bioprocess and biopharma industries.
Dr. Raman is a passionate and enthusiastic teacher, who has taught multiple courses in the interface of computing and biology, to graduate and undergraduate students. He also has an MOOC (Massive Open Online Course) on Computational Systems Biology, on the NPTEL/SWAYAM platforms.
PhD, Indian Institute of Science, Bengaluru, 2009
BTech, Institute of Chemical Technology, Mumbai, 2003
Areas of Research / Professional Expertise
- Computational Systems Biology
- Metabolic Modelling
- Network Biology
- Biological Data Analysis
- Digitisation of Indic (Sanskrit) texts
Published: May 23, 2017
A talk at the Complex Systems School at the International Centre for Theoretical Studies, Bengaluru, introducing graph theory.
Published: Jun 26, 2018
A research talk, that explains our approach to enumerate pathways in metabolic networks, using bi-partite graphs, and dynamic programming.
Published: Jul 17, 2020
In this talk, I describe a robust method based on graph mining, to predict a series of biochemical transformations, which can convert between two (even previously unseen) molecules.
Published: Sep 26, 2020
An overview talk of the work that happens in my lab, centred on computational approaches/algorithms to understand biological networks. It is followed by another talk too, by a colleague from IIT Bombay and a co-founder of qBiome Research Private Limited.
Published: May 25, 2017